Python 为什么会出现此错误属性错误：'；非类型'；对象没有属性'；形状'； 帧为无，可能是因为文件读取失败 > AttributeError Traceback (most

为什么会出现此错误属性错误：'；非类型'；对象没有属性'；形状'；

---

帧

为

无

，可能是因为文件读取失败

> AttributeError                            Traceback (most recent call
> last) <ipython-input-1-31f606f7659f> in <module>()
>       8 nose_image = cv2.imread(r"C:\Users\Monik\Downloads\effect_1\pig_nose.png")
>       9 _, frame = cap.read()
> ---> 10 rows, cols, _ = frame.shape
>      11 nose_mask = np.zeros((rows, cols), np.uint8)
>      12 
> 
> AttributeError: 'NoneType' object has no attribute 'shape

import cv2
import numpy as np
import dlib
from math import hypot

cap = cv2.VideoCapture(0)
nose_image = cv2.imread(r"C:\Users\Monik\Downloads\effect_1\pig_nose.png")
_, frame = cap.read()
rows, cols, _ = frame.shape
nose_mask = np.zeros((rows, cols), np.uint8)


detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(r"C:\Users\Monik\Downloads\effect_1\shape_predictor_68_face_landmarks.dat")

while True:
    _, frame = cap.read()
    nose_mask.fill(0)
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = detector(frame)
    for face in faces:
        landmarks = predictor(gray_frame, face)

        # Nose coordinates
        top_nose = (landmarks.part(29).x, landmarks.part(29).y)
        center_nose = (landmarks.part(30).x, landmarks.part(30).y)
        left_nose = (landmarks.part(31).x, landmarks.part(31).y)
        right_nose = (landmarks.part(35).x, landmarks.part(35).y)

        nose_width = int(hypot(left_nose[0] - right_nose[0],
                           left_nose[1] - right_nose[1]) * 1.7)
        nose_height = int(nose_width * 0.77)

        # New nose position
        top_left = (int(center_nose[0] - nose_width / 2),
                              int(center_nose[1] - nose_height / 2))
        bottom_right = (int(center_nose[0] + nose_width / 2),
                       int(center_nose[1] + nose_height / 2))


        # Adding the new nose
        nose_pig = cv2.resize(nose_image, (nose_width, nose_height))
        nose_pig_gray = cv2.cvtColor(nose_pig, cv2.COLOR_BGR2GRAY)
        _, nose_mask = cv2.threshold(nose_pig_gray, 25, 255, cv2.THRESH_BINARY_INV)

        nose_area = frame[top_left[1]: top_left[1] + nose_height,
                    top_left[0]: top_left[0] + nose_width]
        nose_area_no_nose = cv2.bitwise_and(nose_area, nose_area, mask=nose_mask)
        final_nose = cv2.add(nose_area_no_nose, nose_pig)

        frame[top_left[1]: top_left[1] + nose_height,
                    top_left[0]: top_left[0] + nose_width] = final_nose

        cv2.imshow("Nose area", nose_area)
        cv2.imshow("Nose pig", nose_pig)
        cv2.imshow("final nose", final_nose)
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1)
    if key == 27:
        break